{"id":1422630,"url":"https://alion.io/job/marutitech-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":1853662,"name":"MarutiTech","domain":"marutitech.com","url":"https://alion.io/company/marutitech","size_band":"11-50","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ahmedabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1600000,"max":1800000,"currency":"INR","period":"year","gross":null,"usd_annual":18882},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Domo","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-18T08:08:16Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-09-29T04:13:26Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"About the Role\nWe are looking for a Senior Analytics Engineer to bridge the gap between data engineering and analytics. In this role, you will design, build, and maintain scalable analytics data models that power reporting, dashboards, and advanced analytics across the organization.\nYou will work closely with other analytics engineers and business stakeholders to transform raw data into trusted, analytics-ready datasets. This role is ideal for someone who is deeply technical, has strong business acumen, and is passionate about data quality, modeling best practices, and analytics enablement.\nKey Responsibilities:\nDesign, develop, and maintain analytics-ready datasets using modern data stack tools\nTransform raw data into clean, well-documented, and reliable datasets for analytics and BI use cases\nDevelop state of the art, interactive dashboards\nOwn the analytics layer of the data warehouse, ensuring consistency, accuracy, and performance\nPartner with analytics engineers to define upstream data requirements and improve data ingestion pipelines\nCollaborate with analysts and business stakeholders to translate business needs into scalable data models\nOversee data quality checks, testing, and monitoring of the existing pipelines\nOptimize queries and models for performance and cost efficiency\nRequirements:\n3+ years of experience in analytics engineering, data engineering, or advanced analytics roles\nStrong proficiency in SQL\nHands-on experience with modern data transformation tools (e.g., Dbt or similar)\nHands-on experience with Azure Data Factory (ADF) for orchestration and pipeline development\nStrong experience with Azure Databricks (PySpark, Delta Lake, SQL) for data transformation\nExperience working with Azure Synapse Analytics or similar cloud data warehouse platforms\nExperience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks\nExperience working with BI tools such as Domo, PowerBI, Tableau, or Looker\nStrong understanding of data warehousing concepts, ETL/ELT pipelines, and analytics best practices\nExperience supporting BI and analytics tools\nAbility to translate complex business problems into scalable data solutions\nStrong communication skills and ability to work cross-functionally","description_format":"text","description_chars":2256,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Software","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-28T22:54:02Z"}],"liveness":{"score":49,"band":"ok","label":"Likely open","p_open":0.9,"p_active":0.605,"p_room":0.9,"age_days":12,"expected_fill_days":30,"reasons":["conf:49","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":18882,"is_top_pay":false},"html_url":"https://alion.io/job/marutitech-senior-analytics-engineer","json_url":"https://alion.io/job/marutitech-senior-analytics-engineer.json","meta":{"generated_at":"2026-10-01T11:41:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3415,"day_limit":5000,"remaining_today":1585,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}